Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and unsupervised feature… (More)

Feature selection is an important task in effective data mining. A new challenge to feature selection is the socalled “small labeled-sample problem” in which labeled data is small and unlabeled data… (More)

Feature interaction presents a challenge to feature selection for classification. A feature by itself may have little correlation with the target concept, but when it is combined with some other… (More)